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Borg Eecs published presentations and documents on DocSlides.

Revisiting kmeans New Algorithms via Bayesian Nonparametrics Brian Kulis KULIS C

Revisiting kmeans New Algorithms via Bayesian Nonparametrics Brian Kulis KULIS C

  • test
  • 8 Slides

Jordan JORDAN EECS BERKELEY EDU Departments of EE...

Recognizing Indoor Scenes Ariadna Quattoni CSAIL MIT UC Berkeley EECS ICSI ariadnacsail

Recognizing Indoor Scenes Ariadna Quattoni CSAIL MIT UC Berkeley EECS ICSI ariadnacsail

  • lindy-dunigan
  • 8 Slides

mitedu Antonio Torralba CSAIL MIT 32 Vassar St Cam...

FALL SPRING FALL SPRING FALL SPRING FALL SPRING MATH A MATH B MATH MATH ME EECS ME A ME B CHEM A or PHYS A PHYS B ME ME ME ME CHEM A E E ME C ME ME E E ELECTIVES ELECTIVES ELECTIVES ELECT

FALL SPRING FALL SPRING FALL SPRING FALL SPRING MATH A MATH B MATH MATH ME EECS ME A ME B CHEM A or PHYS A PHYS B ME ME ME ME CHEM A E E ME C ME ME E E ELECTIVES ELECTIVES ELECTIVES ELECT

  • kittie-lecroy
  • 2 Slides

DESIGN COURSES 57479573470DWK57347573685736657347...

HH Dow GG Brown EECS Fuller Road Bonisteel Blvd

HH Dow GG Brown EECS Fuller Road Bonisteel Blvd

  • alexa-scheidler
  • 1 Slides

Broadway Plymouth Road Hubbard Road Hayward Hubba...

Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs

Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs

  • briana-ranney
  • 14 Slides

berkeleyedu Abstract Unsupervised learning require...

Dense Point Trajectories by GPUaccelerated Large Displacement Optical Flow Narayanan Sundaram Thomas Brox and Kurt Keutzer University of California at Berkeley narayansbroxkeutzer eecs

Dense Point Trajectories by GPUaccelerated Large Displacement Optical Flow Narayanan Sundaram Thomas Brox and Kurt Keutzer University of California at Berkeley narayansbroxkeutzer eecs

  • marina-yarberry
  • 14 Slides

berkeleyedu Abstract Dense and accurate motion tra...

Simultaneous Detection and Segmentation Bharath Hariharan Pablo Arbelaez Ross Girshick and Jitendra Malik bharatharbelaezrbgmalik eecs

Simultaneous Detection and Segmentation Bharath Hariharan Pablo Arbelaez Ross Girshick and Jitendra Malik bharatharbelaezrbgmalik eecs

  • mitsue-stanley
  • 16 Slides

berkeleyedu University of California Berkeley Univ...

DirectionOptimizing BreadthFirst Search Scott Beamer Krste Asanovi c David Patterson Electrical Engineering and Computer Sciences Department University of California Berkeley sbeamerkrstepattrsn eecs

DirectionOptimizing BreadthFirst Search Scott Beamer Krste Asanovi c David Patterson Electrical Engineering and Computer Sciences Department University of California Berkeley sbeamerkrstepattrsn eecs

  • trish-goza
  • 10 Slides

berkeleyedu Abstract BreadthFirst Search is an imp...

Distributed Memory BreadthFirst Search Revisited Enabling BottomUp Search Scott Beamer EECS Department University of California Berkeley California Aydn Buluc Computational Research Division Lawrence

Distributed Memory BreadthFirst Search Revisited Enabling BottomUp Search Scott Beamer EECS Department University of California Berkeley California Aydn Buluc Computational Research Division Lawrence

  • tatiana-dople
  • 10 Slides

In the worst case the complexity of BFS is linear...

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences EECS Spring Lab EPROMs This lab is to be completed with a project partner

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences EECS Spring Lab EPROMs This lab is to be completed with a project partner

  • tatyana-admore
  • 6 Slides

Starting with this lab Xilinx boards will be assi...

OPTIMAL QUANTIZERS FOR DISTRIBUTED BAYESIAN ESTIMATION Aditya Vempaty Biao Chen Pramod K

OPTIMAL QUANTIZERS FOR DISTRIBUTED BAYESIAN ESTIMATION Aditya Vempaty Biao Chen Pramod K

  • faustina-dinatale
  • 5 Slides

Varshney Department of EECS Syracuse University N...

EECS IMPULSES AND IMPULSE RESPONSE CONTINUOUSTIME IMPULSES Def An impulse is the limiting case of a constantarea high and fast pulse

EECS IMPULSES AND IMPULSE RESPONSE CONTINUOUSTIME IMPULSES Def An impulse is the limiting case of a constantarea high and fast pulse

  • ellena-manuel
  • 2 Slides

An impulse has zero width in64257nite height and...

Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit Agrawal Ross Girshick Jitendra Malik pulkitagrbgmalik eecs

Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit Agrawal Ross Girshick Jitendra Malik pulkitagrbgmalik eecs

  • luanne-stotts
  • 21 Slides

berkeleyedu University of California Berkeley Abst...

Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs

Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs

  • giovanna-bartolotta
  • 14 Slides

berkeleyedu Abstract Unsupervised learning require...

EECS Digital Signal Processing University of Californi a Berkeley Fall Gastpar November The Power Density Spectrum Preliminary version please report errors typos and sugg estions for improvement

EECS Digital Signal Processing University of Californi a Berkeley Fall Gastpar November The Power Density Spectrum Preliminary version please report errors typos and sugg estions for improvement

  • liane-varnes
  • 4 Slides

On a second reading if you are interested you may...

EECS Astable Monostable an d Bistable op amp circuits EE Lab Astable Monostable and Bistable op amp circuits Theory

EECS Astable Monostable an d Bistable op amp circuits EE Lab Astable Monostable and Bistable op amp circuits Theory

  • pasty-toler
  • 9 Slides

Objective In this laboratory measurement you will...

Visual Concept Learning Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia Joshua Abbott Joseph Austerweil Thomas Grifths Trevor Darrell UC Berkeley EECS Dep

Visual Concept Learning Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia Joshua Abbott Joseph Austerweil Thomas Grifths Trevor Darrell UC Berkeley EECS Dep

  • alexa-scheidler
  • 9 Slides

abbott tom griffiths trevor berkeleyedu joseph aus...

Eigentaste A Constant Time Collaborative Filtering Algorithm Ken Goldberg and Theresa Roeder and Dhruv Gupta and Chris Perkins IEOR and EECS Departments University of California Berkeley August Abst

Eigentaste A Constant Time Collaborative Filtering Algorithm Ken Goldberg and Theresa Roeder and Dhruv Gupta and Chris Perkins IEOR and EECS Departments University of California Berkeley August Abst

  • tatiana-dople
  • 11 Slides

PCA facilitates dimensionality reduction for of64...

Partbased RCNNs for Finegrained Category Detection Ning Zhang Je Donahue Ross Girshick Trevor Darrell nzhangjdonahuerbgtrevor eecs

Partbased RCNNs for Finegrained Category Detection Ning Zhang Je Donahue Ross Girshick Trevor Darrell nzhangjdonahuerbgtrevor eecs

  • pasty-toler
  • 16 Slides

berkeleyedu University of California Berkeley Abst...

Practical Chiplevel Equalizers in HSDPA Minjae Park Woonsik Lee MinhViet Nguyen and Hwang Soo Lee Department of EECS Division of Electrical Engineering Korea Advanced Institute of Science and Technol

Practical Chiplevel Equalizers in HSDPA Minjae Park Woonsik Lee MinhViet Nguyen and Hwang Soo Lee Department of EECS Division of Electrical Engineering Korea Advanced Institute of Science and Technol

  • lindy-dunigan
  • 8 Slides

kaistackr hwangleeeekaistackr Abstract Highspeed ...

EECS Lecture Frequency response Prof J

EECS Lecture Frequency response Prof J

  • tatyana-admore
  • 18 Slides

S Smith EECS 105 Prof J S Smith Context Today we ...

EECS POWER SPECTRAL DENSITY Fall Given is a realvalued mean WSS random process RP

EECS POWER SPECTRAL DENSITY Fall Given is a realvalued mean WSS random process RP

  • faustina-dinatale
  • 8 Slides

With Autocorrelation for any time Note 0mean ...

TRACKING MOTIONBLURRED TARGETS IN VIDEO Shengyang Dai Ming Yang Ying Wu Aggelos K

TRACKING MOTIONBLURRED TARGETS IN VIDEO Shengyang Dai Ming Yang Ying Wu Aggelos K

  • sherrill-nordquist
  • 4 Slides

Katsaggelos Department of EECS Northwestern Univer...

EECS a Advanced Topics in Computer Systems Lecture PaxosMegastore November th John Kubiatowicz Electrical Engineering and Computer Sciences University of California Berkeley httpwww

EECS a Advanced Topics in Computer Systems Lecture PaxosMegastore November th John Kubiatowicz Electrical Engineering and Computer Sciences University of California Berkeley httpwww

  • calandra-battersby
  • 11 Slides

eecsberkeleyedukubitroncs262 11242014 cs262aF14 Le...

Learning Rich Features from RGBD Images for Object Detection and Segmentation Saurabh Gupta Ross Girshick Pablo Arbelaez and Jitendra Malik sgupta rbg arbelaez malik eecs

Learning Rich Features from RGBD Images for Object Detection and Segmentation Saurabh Gupta Ross Girshick Pablo Arbelaez and Jitendra Malik sgupta rbg arbelaez malik eecs

  • test
  • 16 Slides

berkeleyedu University of California Berkeley Univ...

EECS a Advanced Topics in Computer Systems Lecture Pa

EECS a Advanced Topics in Computer Systems Lecture Pa

  • trish-goza
  • 11 Slides

Joseph Electrical Engineering and Computer Scienc...

Lecture Blackwells Approachability Theorem EECS Pred

Lecture Blackwells Approachability Theorem EECS Pred

  • calandra-battersby
  • 6 Slides

Jacob Abernethy Scribe Petter Nilsson Announcemen...

Asserting and Checking Determinism for Multithreaded P

Asserting and Checking Determinism for Multithreaded P

  • tatyana-admore
  • 10 Slides

berkeleyedu Koushik Sen EECS Department UC Berkele...

EECS Decidable SemiDecidable or Neither Prof

EECS Decidable SemiDecidable or Neither Prof

  • giovanna-bartolotta
  • 1 Slides

Branic ky is the complemen of language esNo uring...

SCUDO A Finegrained Protection Model for Web Browsers

SCUDO A Finegrained Protection Model for Web Browsers

  • kittie-lecroy
  • 12 Slides

Chapin Department of EECS Syracuse University kja...

EECS 391: Introduction to AI (Spring 20) Programming Assignment 2(Max

EECS 391: Introduction to AI (Spring 20) Programming Assignment 2(Max

  • min-jolicoeur
  • 2 Slides

Assigned sdayFebruary , due midnight uesday March ...

EECS 391: Introduction to AI (Spring 20) Programming Assignment (Max P

EECS 391: Introduction to AI (Spring 20) Programming Assignment (Max P

  • calandra-battersby
  • 3 Slides

Assigned FridayApril 10, due midnight MondayApril ...

LecturesonFrugalMechanismDesignJasonHartlineLectures:May27,29,2008Not

LecturesonFrugalMechanismDesignJasonHartlineLectures:May27,29,2008Not

  • tawny-fly
  • 10 Slides

NorthwesternU.,Evanston,IL.Email:hartline@eecs.no...

A Summary of Operator OverloadingDavid Kieras, EECS Dept., Univ. of Mi

A Summary of Operator OverloadingDavid Kieras, EECS Dept., Univ. of Mi

  • karlyn-bohler
  • 14 Slides

Non-member operator functionsRule #2. A non-member...

EECS 247 Lecture 23: Oversampling Data Converters

EECS 247 Lecture 23: Oversampling Data Converters

  • celsa-spraggs
  • 31 Slides

Lecture 23•Oversampled ADCs–1Bit quantiz...

EECS 373

EECS 373

  • trish-goza
  • 21 Slides

Controller Area Networks. Samuel . Haberl. Russel...

EECS 262a

EECS 262a

  • kittie-lecroy
  • 40 Slides

Advanced Topics in Computer Systems. Lecture . 1....

EECS 373 Talk

EECS 373 Talk

  • phoebe-click
  • 19 Slides

Group Members:. Kevin Wang. Henry Shih. Yu Xing. ...

EECS

EECS

  • ellena-manuel
  • 31 Slides

4101/5101. Augmenting. Data Structures. Prof. And...

1 EECS 527 Paper Presentation

1 EECS 527 Paper Presentation

  • trish-goza
  • 21 Slides

Accurate Estimation of Global Buffer Delay . With...

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